metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: Bart-base-v2
results: []
Bart-base-v2
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 985982.912 | 0.24 | 250 | nan |
| 0.0 | 0.48 | 500 | nan |
| 0.0 | 0.72 | 750 | nan |
| 0.0 | 0.96 | 1000 | nan |
| 0.0 | 1.2 | 1250 | nan |
| 0.0 | 1.44 | 1500 | nan |
| 0.0 | 1.69 | 1750 | nan |
| 0.0 | 1.93 | 2000 | nan |
| 0.0 | 2.17 | 2250 | nan |
| 0.0 | 2.41 | 2500 | nan |
| 0.0 | 2.65 | 2750 | nan |
| 0.0 | 2.89 | 3000 | nan |
| 0.0 | 3.13 | 3250 | nan |
| 0.0 | 3.37 | 3500 | nan |
| 0.0 | 3.61 | 3750 | nan |
| 0.0 | 3.85 | 4000 | nan |
| 0.0 | 4.09 | 4250 | nan |
| 0.0 | 4.33 | 4500 | nan |
| 0.0 | 4.57 | 4750 | nan |
| 0.0 | 4.81 | 5000 | nan |
| 0.0 | 5.06 | 5250 | nan |
| 0.0 | 5.3 | 5500 | nan |
| 0.0 | 5.54 | 5750 | nan |
| 0.0 | 5.78 | 6000 | nan |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2